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Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and lenders to use automated cash flow underwriting—analyzing detailed banking history in real time—to improve credit decisions, expand approvals, and reduce losses. We’re seeking a Lead Software Engineer to serve as a technical anchor across multiple strategic initiatives, driving architecture strategy, raising operational excellence, and mentoring and ideating with Prism’s other engineering staff.
Job Responsibility:
Contribute to Prism’s engineering culture by regularly mentoring other engineers and facilitating knowledge sharing, learning, and continuous improvement
Advance an architectural runway to support product extensibility and scalability while balancing sustainability
Architect and lead the enhancement of production ML-serving infrastructure, including continuous advancement of MLOps capabilities
Design, build, and operate enterprise-grade APIs and other platform services, and lead strategic co-development opportunities with key partners and data providers
Drive technical direction across platform and model-serving layers, ensuring observability, security, and performance at scale
Partner cross-functionally with product, legal, and go-to-market teams to cohesively develop new capabilities that expand cash flow analytics use cases
Requirements:
Software engineering experience, ideally in a high-growth or early stage startup
Strong expertise in modern software practices and technologies, with ability to quickly adapt to Prism’s services stack
Deep hands-on experience with Python, Kubernetes, and AWS, with specific experience supporting machine-learning models from prototyping through production operations
Proactive bias-to-solve technical problems and navigate complex design decisions
Excellent communication skills with the ability to bridge gaps between technical teams and non-technical stakeholders